Abstract
AbstractWildfires are thought to be increasing in severity and frequency as a result of climate change1–5. Air pollution from landscape fires can negatively affect human health4–6, but human exposure to landscape fire-sourced (LFS) air pollution has not been well characterized at the global scale7–23. Here, we estimate global daily LFS outdoor fine particulate matter (PM2.5) and surface ozone concentrations at 0.25° × 0.25° resolution during the period 2000–2019 with the help of machine learning and chemical transport models. We found that overall population-weighted average LFS PM2.5 and ozone concentrations were 2.5 µg m−3 (6.1% of all-source PM2.5) and 3.2 µg m−3 (3.6% of all-source ozone), respectively, in 2010–2019, with a slight increase for PM2.5, but not for ozone, compared with 2000–2009. Central Africa, Southeast Asia, South America and Siberia experienced the highest LFS PM2.5 and ozone concentrations. The concentrations of LFS PM2.5 and ozone were about four times higher in low-income countries than in high-income countries. During the period 2010–2019, 2.18 billion people were exposed to at least 1 day of substantial LFS air pollution per year, with each person in the world having, on average, 9.9 days of exposure per year. These two metrics increased by 6.8% and 2.1%, respectively, compared with 2000–2009. Overall, we find that the global population is increasingly exposed to LFS air pollution, with socioeconomic disparities.
Publisher
Springer Science and Business Media LLC
Cited by
9 articles.
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